Severe Storm

Based on communication with the Office for Humanitarian Affairs (OCHA) Pacific Office, UNOOSA/UN-SPIDER requested the activation of the International Charter "Space and Major Disasters" to assess the damage caused by Super

This study developed a rapid assessment algorithm for post-hurricane forest damage estimation using moderate resolution imaging spectroradiometer (MODIS) measurements. The performance of five commonly used vegetation indices as post-hurricane forest damage indicators was investigated through statistical analysis. The Normalized Difference Infrared Index (NDII) was identified as the optimal damage indicator among these vegetation indices.

External Contact Person:

Dr. Arleen Hill

Email:

aahill [at] memphis.edu

Language
English

Bibliographic reference:

Hill, A., Adams, B.J., Keys-Matthews, L., and Podolsky, D., (2006). Remote Sensing and Recovery: A Case Study on the Gulf Coast of the United States. Proceedings of the 4th International workshop on Remote Sensing for DisasterResponse, Cambridge, UK.